Section 3.3 Measures of Position 135 for 1965–2006 are longer than the corresponding elements for 1923–1964. This tells us that the rainfall was more variable during 1965–2006. Finally, the upper whisker is longer than the lower whisker in both boxplots. This tells us that both rainfall data sets are skewed to the right. Finally, we note that there were several outliers in 1923–1964, but only one in 1965–2006. USING TECHNOLOGY Table 3.14 lists the number of calories in 11 fast-food restaurant hamburgers. We use these data to illustrate the technology steps. Table 3.14 Number of Calories in Fast-Food Hamburgers 840 1090 680 950 1070 860 940 1285 900 1120 720 TI-84 PLUS Computing Quartiles The procedure used to compute the mean and median, presented on page 96, will also compute the quartiles. The quartiles for the data in Table 3.14 are shown in Figure A. Figure A Drawing Boxplots Step 1. Enter the data from Table 3.14 into L1 in the data editor. Step 2. Press 2nd, Y= to access the STAT PLOTS menu and select Plot1 by pressing 1. Step 3. Select On and the boxplot icon in the lower left. Press ENTER (Figure B). Step 4. Press ZOOM and then 9: ZoomStat (Figure C). Figure B Figure C MINITAB Computing Quartiles The MINITAB procedure used to compute the mean and median, described on page 96, will also compute the quartiles. The quartiles for the data in Table 3.14 are shown in Figure D. 0 50 100 150 200 250 Figure D Drawing Boxplots Step 1. Enter the data from Table 3.14 into Column C1. Step 2. Click on Graph and select Boxplot. Choose the One Y, Simple option and press OK. Step 3. Double-click on C1 and press OK.
navidi_monk_essential_statistics_1e_ch1_3
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